Smart City Gnosys
Smart city article details
| Title | Introducing Mobility Metrics In Trust-Based Security Of Routing Protocol For Internet Of Things |
|---|---|
| ID_Doc | 33213 |
| Authors | Muzammal S.M.; Murugesan R.K.; Jhanjhi N.Z. |
| Year | 2021 |
| Published | Proceedings - 2021 IEEE 4th National Computing Colleges Conference, NCCC 2021 |
| DOI | http://dx.doi.org/10.1109/NCCC49330.2021.9428799 |
| Abstract | Internet of Things (IoT) is flourishing in several application areas, such as smart cities, smart factories, smart homes, smart healthcare, etc. With the adoption of IoT in critical scenarios, it is crucial to investigate its security aspects. All the layers of IoT are vulnerable to severely disruptive attacks. However, the attacks in IoT Network layer have a high impact on communication between the connected objects. Routing in most of the IoT networks is carried out by IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL). RPL-based IoT offers limited protection against routing attacks. A trust-based approach for routing security is suitable to be integrated with IoT systems due to the resource-constrained nature of devices. This research proposes a trust-based secure routing protocol to provide security against packet dropping attacks in RPL-based IoT networks. IoT networks are dynamic and consist of both static and mobile nodes. Hence the chosen trust metrics in the proposed method also include the mobility-based metrics for trust evaluation. The proposed solution is integrated into RPL as a modified objective function, and the results are compared with the default RPL objective function, MRHOF. The analysis and evaluation of the proposed protocol indicate its efficacy and adaptability in a mobile IoT environment. © 2021 IEEE. |
| Author Keywords | Internet of Things; Mobility; RPL; Security; Trust |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
5644  | 0.888 | Ahmadi K.; Javidan R. | A Trust Based Anomaly Detection Scheme Using A Hybrid Deep Learning Model For Iot Routing Attacks Mitigation | IET Information Security, 2024, 1 (2024) |
| 9540 | 0.871 | Giri A.; Hegde A.S.; Mendhiratta A. | Analyzing The Impact Of Rpl Routing Attacks On The Smart City Ecosystems | Proceedings of NKCon 2023 - 2nd IEEE North Karnataka Subsection Flagship International Conference (2023) |
| 23670 | 0.868 | Maheshwari A.; Yadav R.K.; Nath P. | Enhanced Rpl To Control Congestion In Iot: A Review | Communications in Computer and Information Science, 1727 CCIS (2023) |
| 47113 | 0.859 | Mishra S.; Sharma V.; Vimlesh Kr. | Rpl Protocol Performance Analysis Across Multiple Iot Topologies | 2025 International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics, IC3ECSBHI 2025 (2025) |
| 52974 | 0.858 | Garg S.; Mehrotra D.; Pandey H.M.; Pandey S. | Static To Dynamic Transition Of Rpl Protocol From Iot To Iov In Static And Mobile Environments | Cluster Computing, 26, 1 (2023) |
| 44130 | 0.858 | Subhash P. | Rankimpact: A Study Of Rank Attacks Impact Over Rpl Based Internet Of Things Networks | International Symposium on Advanced Networks and Telecommunication Systems, ANTS (2023) |
| 3072 | 0.854 | Ghaleb B.; Al-Dubai A.; Ekonomou E.; Gharib W.; Mackenzi L.; Bani Khala M. | A New Load-Balancing Aware Objective Function For Rpl'S Iot Networks | Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018 (2019) |
| 5319 | 0.851 | Almutairi H.; Zhang N. | A Survey On Routing Solutions For Low-Power And Lossy Networks: Toward A Reliable Path-Finding Approach | Network, 4, 1 (2024) |